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In this paper, a digital spliced image detection method based on edge blur measurement is proposed. The blur degree of edges in images is measured based on edge blur extension. The difference of blur degree between authentic images and spliced images is analyzed. The percentage of sharp edge is extracted as features, and used to classify the authentic images and spliced images. The experiments show...
Case based reasoning (CBR) is very important task in data mining, but privacy information will be disclosed easily in CBR. This paper presents random locally linear embedding (LLE) on encrypted case based reasoning method. In order to be ensure the security of the CBR, the parameters nearest neighbor number k and embedded space dimension d of LLE algorithm are selected randomly. Further we embed the...
A privacy preserving classification algorithm based on random Multidimensional Scales (MDS) is presented in this paper. We first alter the selection of the parameter embedded dimension d for satisfying the security of privacy preserving classification. Further the sensitive attributes are embedded into random (even higher) dimension feature space using random MDS algorithm, thus the sensitive attributes...
In this paper, a privacy preserving classification algorithm based random diffusion map is presented. We first alter the selection of the parameter dimension d and metaparameter fixed value ?? for satisfying the security of privacy-preserving classification. Further the sensitive attributes are embedded into random(even higher) dimension feature space using random diffusion map, thus the sensitive...
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